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Postdoctoral position in bioinformatics/computational biology at Stanford Center for Cancer Systems Biology

The Stanford CCSB aims to identify mechanisms by which tumor cells "teach" the immune system to tolerate them, with a focus on little-studied interactions in lymph nodes, which are a frequent precursor to wider metastasis. We are analyzing tumor-immune interactions with a variety of high-thoughput assays including RNA-seq and single-cell imaging.

This is an opportunity for a postdoctoral fellow to develop and apply methods for identifying biomarkers and processes involved in lymph node and distant metastasis, initially focusing on public datasets. The candidate should have, or be close to completing, a Ph.D. in bioinformatics or computational biology, though those with a background in other quantitative computational fields will be considered. Strong computational skills as well as knowledge of machine learning and prediction methods are essential, as is a genuine interest in the scientific questions being investigated in the Center. Experience with a programming language suitable for biostatistical analysis (such as R or Python) is required, and UNIX/Linux cluster computing experience is strongly recommended. Experience with genomic analyses (microarray analyses, RNAseq analyses) is preferred; integration of large data sets, and analyses of multiple types of omics data would all be valuable assets.

The candidate should have strong written and verbal English skills, communication and interpersonal skills. You will be working closely with experimental and clinical collaborators, so should be willing to communicate across disciplinary boundaries and take the initiative in projects. Attention to detail and ability to work on multiple projects are important.

Further information about the Center and scientific aims can be found at http://ccsb.stanford.edu. Please submit a CV and the names of at least two references by email to Andrew Gentles: andrew DOT gentles AT stanford.edu

posted 2017.03.09